Table of Contents

• Spiking NeuronsWolfgang Maass. 16-20
• Models of Visual Awareness in a Multi-Module Neural NetworksIgor Aleksander, Barry Dunmall. 21-28
• Approximation of Functions by Neural NetworksVera Kurková. 29-35
• 2D Neural Hardware versus 3D Biological OnesValeriu Beiu. 36-42
• Neuro Fuzzy SystemsHans-Heinrich Bothe. 43-60
• Fuzzy Rules Induction with Associative Memory NetworksLi Bai, Dave Elliman. 61-66
• Weightless Neural Networks for Pattern Recognition: A Comparison of Different Methods for Processing Grey-level data Stanislao Lauria, R. Mitchell, Slawomir J. Nasuto. 67-71
• Higher Order CMAC and its Efficient Hardware RealizationGábor Horváth, Tamás Szabó. 72-78
• Kernels for Morphological Associative MemoriesPeter Sussner. 79-85
• An Analog VLSI Integrate-and-Fire Neural Network for Sound SegmentationMark A. Glover, Alister Hamilton, Leslie S. Smith. 86-92
• Necker Cube Cognitive Interpretation in a Pulse Neural Network with FluctuationKozo Itano, Hideki Sakamoto. 93-99
• Distributed, Event Driven Simulation of Spiking Neural NetworksCyprian Grassmann, Joachim K. Anlauf. 100-105
• The Decrease of Fuzzy Label Number Using Self-organization Competition NetworkShuang Cong, Gang Wu, Guodong Li. 106-112
• Construction of Hierarchical Neural Classifers by Self-Organizing Error Back-PropagationS. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai. 113-116
• StatSOM: Statistical Self-Organizing MapEmin Germen, Semih Bilgen. 117-122
• Fast Self-Growing and Self-Organizing Feature Map using Automatic Learning ParametersKarin Haese. 123-129
• Evolutionary Algorithms with Self-Organizing Population Dynamic for Clustering of Categories in Psychotherapy Research Using Large Clinical Data SetsThomas Villmann, A. Körner, Conny Albani. 130-136
• Simulating the Information Processing Associated with Human Consciousness in a Bilateral Neural Network: Nuclear and Fringe AwarenessNorman D. Cook. 137-143
• A Error-oriented Self-organizing Neural Network for Identification of a Processing UnitYongjun Wu, Christian Döschner. 144-150
• Simple Inversion Genetic Algorithm: An Effective Optimization StrategyCristian Munteanu, Vasile Lazarescu. 151-156
• Parallel Adaptive Genetic AlgorithmLeo Budin, Marin Golub, Domagoj Jakobovic. 157-163
• How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes?Akira Imada, Keijiro Araki. 164-169
• An Evolutionary Method for System Structure Identification Using Neural NetworksSpiridon D. Likothanassis, Efstratios F. Georgopoulos, George D. Manioudakis, Adam V. Adamopoulos. 170-175
• Solving the Packing Problem with Genetic AlgorithmsAlberto Gomez, David de la Fuente, Javier Puente. 176-179
• A Genetic-Based Filter for Mode DetectionA. El-Ouaazizi, H. Benkirane, Rachid Benslimane, Jack-Gérard Postaire. 180-184
• Structural Analysis of Rule Bases of Fuzzy UnitsRoland Strietzel. 185-191
• Neural Networks in Proposal of Fuzzy Logic ConnectivesGabriela Andrejková. 192-195
• A Simple, Hybrid Approach to Classification, Based on Fuzzy Sets and Categorical Statistics, Suitable for SpreadsheetsJames C. Reynolds. 196-200
• An Adaptive Neurofuzzy Architecture and its ApplicationPan Fu, Anthony D. Hope, G. A. King. 201-207
• A New Neural Network System for Arrhythmia s ClassificationNouma Izeboudjen, Ahcene Farah. 208-212
• Auditory Stimulus Discrimination from MEG DataTuomas J. Lukka, Bernd Schoner, Alec Marantz. 213-219
• Sensor Failure Detection and Signal Reconstruction using Autoassociative Neural NetworksThomas J. Boehme, Ian Fletcher, C. S. Cox. 220-225
• Experience with Voting Neural Networks for Multi-spectral Image ClassificationPeter Sincak, Peter Popovec, Rudolf Jaksa, Howard Veregin. 226-232
• Decision Trees of Modular Neural NetworksM. S. Pakianather, P. R. Drake, M. K. Kidwai, N. Naji. 233-239
• Handwritten Digit Recognition by a Neocognitron with Improved Bend-ExtractorsKunihiko Fukushima, Eiji Kimura, Hayaru Shouno. 240-246
• Robust Vector Quantization by MDLHorst Bischof, Ales Leonardis. 247-253
• An Intelligent Hybrid System Approach to Aid Process OperatorsA. C. B. Ramos, A. M. da Cunha. 254-259
• Time Complexity Analysis of the Stochastic Diffusion SearchSlawomir J. Nasuto, J. Mark Bishop, Stanislao Lauria. 260-266
• Texture Segmentation by Biologically-Inspired Use of Neural Networks and Mathematical MorphologyMario Köppen, Javier Ruiz-del-Solar, Pierre Soille. 267-272
• On-Line Hangul Character Recognition Using Multiple Neural NetworksHansoo Cho, Kenji Ohmori. 273-279
• Electronic Fruit Grading using Neural Networks for Real Time Pattern RecognitionJames Seager. 280-286
• The Q-Transformation Method Applying to the Facial Images NormalizationVolodymyr P. Kozhemyako, Yuri F. Kutaev, Leonid I. Timchenko, Sergey V. Chepornyuk, Rami R. Hamdi, Alexander A. Gertsiy, Igor D. Ivasyuk. 287-291
• The Unit RBF Network: Experiments and Preliminary ResultsPeter G. Anderson. 292-297
• Object Identification on Airports Using Radial Basis Function NetworksKarin Haese, Christoph Meier. 298-303
• Cellular Neural Networks for Complex Object RecognitionMariofanna G. Milanova, Ulrich Büker. 304-310
• Tirano System with Learning Capacity for the Detection of Moving TargetsMiguel Angel Fernández, Antonio Fernández-Caballero, Juan Moreno García, Gabriel Sebastián. 311-317
• A Very Short-term Maximal Demand Forecasting and Control using RBF Neural NetworksPedro A. González Lanza. 318-323
• Short-term Electrical Load Forecasting in Transformation Period (Case Study)Jerzy S. Zielinski, Witold Bardzki, Witold Bartkiewicz, Zbigniew Gontar. 324-328
• Supervision of Wind Energy Converters by an Autoassociator Neural NetworkR. Bertrand, N. Elhor, Denis Hamad, Jack-Gérard Postaire. 329-334
• Progressive Learning Neural Networks Applied to Solve Wide Electrical Power SystemsAntonino Augugliaro, V. Cataliotti, Luigi Dusonchet, S. Favuzza, G. Scaccianoce. 335-341
• Neuro-Fuzzy Load ForecastingBojan Novak. 342-346
• Forecasting Financial Markets Utilizing Artificial Neural Networks and Genetic AlgorithmsMartin Kührer, Walter Reinisch. 347-350
• Classification of Sleep Apnea Events by Means of Radial Basis Function NetworksThomas Zemen, Markus Clabian, Helmut Pfützner. 351-357
• Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural NetworksAmparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe. 358-364
• Time-of-Reduction-Recovery Predicton in Neural Networks of Variable Topology to Improve Enzyme ClassificationYasuo Kuhara, Kentaro Shimizu, Junta Doi. 365-370
• Automatic Segmentation of MRT images using a hybrid Neural Network - image matching approachF. Tafill, M. Budil, Christian Kremser, Michael Schocke, F. Aichner. 371-377
• ECG Identification Using Self-Organising MapsRafael Barea, Luciano Boquete, Ricardo García, Manuel Mazo, Elena López Guillén, María Soledad Escudero, Francisco Javier Rodríguez. 378-383
• Neuro-Fuzzy Approach to Detection of Emergency States in Neurosurgical PatientsMiraslaw Swiercz, Zenon Mariak, Janusz Lewko. 384-390
• Automatic Lipreading using Neural NetworksGihad Rabi, Si Wei Lu. 391-397
• Personal Verification with Palm Print and Hand Shape by Utilizing Neural Network TechniquesTakashi Nagano, Yoshiaki Hirai. 398-404
• Application of Hopfield Neural Networks to State EstimationFrancisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández. 405-411
• Simultaneous Estimation of Signal and Noise in the Constructive Neural NetworksShahram Hosseini, Christian Jutten. 412-418
• Chaos as a Desirable Stable State of Artificial Neural NetworksTjeerd Olde Scheper, Nigel Crook, Chris Dobbyn. 419-423
• An Addition to Backpropagation for Computing Functional RootsLars Kindermann. 424-427
• Visual Programming Environment for Nonlinear Dynamical Systems AnalysisZvonimir Vanjak, Leo Budin. 428-431
• Estimation and Extraction of Unstable Frequency Lines of Acoustic Signal Using Neural NetworkSeok-Woon Ha, Sung-Eun Lee, Soo-Bok Hwang, Jae-Chang Kim. 432-438
• Neural Network Based Nonlinear Feature Extraction of Head-Related Transfer Function (HRTF) Data in 3-D Sound ProcessingSangweon Suh, Kihong Kim, Heechong Lee, Hyunbin Kim. 439-444
• A Variable Step (VS) Learning Algorithm for Blind Source Separation (BSS)Man-On Pun, Yuzo Hirai. 445-450
• Analog Neural Networks for Linear Predictive CodingFa-Long Luo, Rolf Unbehauen, Tertulien Ndjountche. 451-455
• Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based SystemSid-Ahmed Selouani, Jean Caelen. 456-462
• Neural-Based Object Recognition Support: From Classical Preprocessing to Space-Variant SensingRyszard Tadeusiewicz, Zbigniew Mikrut. 463-468
• Recognition of Complex Objects with an Active Vision SystemBärbel Mertsching, Maik Bollmann, Amin Massad, Steffen Schmalz. 469-475
• A Structured Neural Network for Shift and Rotation Invariant Pattern RecognitionSabine Kröner, H. Burkhardt. 476-482
• Invariant Edge Detection and TracingPiotr S. Szczepaniak, Krzysztof Dubowik. 483-487
• Neural Techniques for Path Linking, with Applications to Image ProcessingRobert I. Damper, Stuart J. Gilson. 488-494
• Astrocytes, Evolution and the Construction of Recurrent Neural NetworksJ. G. (Iain) Wallace, Kevin Bluff. 495-498
• The Neural Solution to Reactive Compensation Problem in Systems with Non-sinusoidal WaveformsDariusz Grabowski, Janusz Walczak, Piotr Oewiscz. 499-505
• Control with Reference Model Using Recurrent Neural NetworksLuciano Boquete, Ricardo García, Rafael Barea, Manuel Mazo, Juan Carlos García García, Jesús Ureña, Felipe Espinosa, José Luis Lázaro, María Soledad Escudero. 506-511
• On the Approximation Capability of Recurrent Neural NetworksBarbara Hammer. 512-518
• Input-Output Stability of Recurrent Neural Networks with Delays Using Circle CriteriaJochen J. Steil, Helge Ritter. 519-525
• Recurrent Neural Networks with Iterated Function Systems DynamicsPeter Tiño, Georg Dorffner. 526-532
• Evoked Potential Feature Detection with Recurrent Dynamic Neural NetworksJosé D. Piñeiro, Roberto L. Marichal, Lorenzo Moreno, Jose F. Sigut, J. I. Estévez, R. M. Aguilar, José L. Sánchez, Juan J. Merino. 533-536
• Probabilistic Structure of Molecular Cell WaveletsH. S. Kang. 537-543
• Additional Learning and Forgetting by RBF Networks and its Applications to Design of Support Structures in Tunnel ConstructionH. Nakayama, S. Yanagiuchi, K. Furukawa, Y. Araki, S. Suzuki, M. Nakata. 544-550
• An Efficient Newton-type Learning Algorithm for MLP Neural NetworksIvan Petrovic, Mato Baotic, Nedjeljko Peric. 551-558
• An Application of RBF-Based ANN to Extraction of RulesJan Zizka, Zdenek Kratochvíl. 559-564
• Gradient Descent and Recursive Least Squares Learning Algorithms for On Line Identification of Hammerstein Systems using Recurrent Neural Network ModelsAndrzej Janczak. 565-571
• A Mahalanobis Distance Error Measure for Backpropagation Neural NetworksAmr Goneid, Ibrahim Farag, Ashraf M. Abdelbar, Abear Kamel. 572-576
• Global Fault Immunization for Supervised ANN by Hybrid Learning AlgorithmKhamron Sunat, Chidchanok Lursinsap. 577-581
• Training Neural Networks with an Extension of the Marquardt AlgorithmMarkus Lendl, Rolf Unbehauen. 582-586
• Learning Methods for Feed-Forward Neural Networks Involving the Solution of ODEsMarkus Lendl, Rolf Unbehauen. 587-590
• Training Continuous Trajectories by Means of Dynamic Neural Networks with Time Dependent WeightsLutz Leistritz, Miroslaw Galicki, Herbert Witte. 591-596
• Continuous Learning with an Incremental Hybrid SystemMichael Tagscherer. 597-602
• Pruning and Regularization Techniques for Feed Forward Nets Applied on a Real World Data BaseMatthias Rychetsky, Stefan Ortmann, Manfred Glesner. 603-609
• Simulated Annealing: Fast Convergence with Initial Conditions IndependenceJoarez B. Monteiro, Luiz Pereira Calôba. 610-616
• The Improvement and Comparison of Different Algorithms for Optimizing Neural Networks on the MasPar MP-2Werner Erhard, Torsten Fink, Michael M. Gutzmann, Christoph Rahn, Axel Doering, Miroslaw Galicki. 617-623
• Development of Neural Network Model to Solve the Routing ProblemYoo Shin Kim, Gi-Souk Yoon, Ja-Myoung Kim, Je Woo Kim. 624-628
• A New Optimization Method for the Interconnecting Structure of Artificial Neural NetworksFabrizio Almagno, Luigi Caputo. 629-633
• Route Optimization and Traffic Management in ATM Networks using Neural ComputingAloke Chaudhuri. 634-638
• Simple CMOS Learnable Threshold ElementVictor Varshavsky. 639-644
• Neuromorphic ion Channels: Gating Modes and AdaptationCatherine Collin. 645-651
• A Neural Accelerator for Graph Colouring Based on an Edge Adding TechniqueBarry Rising, Max van Daalen, John Shawe-Taylor, Peter Burge, Janez Zerovnik. 652-656
• Neurocomputer Programming Using EpsiloNNAlfred Strey, Bernd Bunk. 657-663
• Cellular Automata Architecture for the Artificial Insect EyeEduard Franti, Monica Dascalu, Mihai Stanescu. 664-668
• Incorporating MOS Transistor Mismatches into Training of Analog Neural NetworksArif Selçuk Ögrenci, Murat R. Becer, Günhan Dündar, Sina Balkir. 669-675
• Parallelization of Structured Invariant Neural Networks for Shift and Rotation Invariant Pattern RecognitionSabine Kröner, Michael Nölle, Gerald Schreiber. 676-684
• Coarse-Grain Parallel Processing of Backpropagation Training on Shared-Memory MultiprocessorsA. T. Murgan, Felicia Ionescu. 685-688
• A Concept of an Optical Vector Multiplier for Neural NetworksM. Budil. 689-695
• Distributed Implementation of the Back Propagation on the Cluster of WorkstationsLadislav P. Kodym. 696-702
• Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural NetworkBao-Liang Lu, Masami Ito. 703-709
• Agent-Based Implementation of Neural SystemsElmar Thurner. 710-716
• On the Integration of Expert Knowledge in Interpolating ControllersT. Ullrich, Karlheinz Hohm, H. Tolle. 717-723
• A DSP-Based Intelligent Controller for a Laser Tracking StationF. G. Santoro, E. M. Belo, J. C. Campos Rubio. 724-730
• Design Methods of Robust Feedback Controller by Use of Neural NetworksHiroaki Nakanishi, Koichi Inoue. 731-736
• Decentralized Nonlinear Adaptive Control Using Neural NetworksA. Shim, L. Radouane. 737-742
• Reinforcement Learning Applied to Simulated Basketball BalancingWilliam W. Armstrong. 743-746
• Fuzzy ArtMap Neural Networks (FAMNN) Based Navigation for Intelligent Autonomous Vehicles (IAV) in Partially Structured EnvironmentsAmine Chohra. 747-753
• Nonlinear Dynamic Systems Modelling Using Neural Networks with Reduced Interference on the Plant OperationJoarez B. Monteiro, Luiz Pereira Calôba. 754-760
• Sensitivity Reduction of Dynamic NN ApproximationsI. Vajk, J. Hetthéssy, Hassan Charaf. 761-767
• Lateral Position Control of a Vehicle on Highway by Memory Neuron NetworksS. Dourlens, N. Chatry, Véronique Perdereau, Michel Drouin. 768-771
• An Approach to the Inverse Kinematics of a Redundant Planar Arm by Dynamic Neural NetworksG. N. Marichal, Leopoldo Acosta, Lorenzo Moreno, Alberto F. Hamilton, Juan A. Méndez. 772-777
• Neural Net Model of Robot ManipulatorJerzy E. Kurek. 778-783
• Controlling One-legged Dynamic Movement with MLPsKlaus D. Maier, Volkmar Glauche, Reinhard Blickhan, Clemens Beckstein. 784-790
• Discrete Hidden Markov Model based Learning Controller for Robotic DisassemblyYanming Liu, Karlheinz Hohm. 791-797
• An Efficient Compression of Image Data Using Neural Networks of Hybrid Learning AlgorithmYong-Hyun Cho. 798-801
• Research for the Application of Neural Network in Strip Thickness ControlLiu Jianchang, W. Jianhui, Gu Shusheng. 802-806
• Tool Wear Monitoring in Metal Cutting Operation Using Neural Networks and Multivariate Process ParametersDimla E. Dimla. 807-810
• Prediction of the daily Tax Declaration Submissions by Neural NetworksWalter Reinisch, Gunter Roche. 811-815
• An Occupant Dependent, Self-Optimizing Home-Automation System Using Neuro-Fuzzy ControlMarkus Nebenführ, Gerhard H. Schildt, Harald J. Zainzinger. 816-819
• Applications of Feedforward Neural Networks to Transportation ResearchLivio Florio, Lorenzo Mussone. 820-826
• A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE ProjectBertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas. 827-833
• Effects of Database Characteristics on the Neural Modeling of an Industrial ProcessB. Pataki, G. Horváth, G. Strausz. 834-840
• SEE Prediction: Construction of a L-based Energy FunctionAlexandra I. Cristea, Toshio Okamoto. 841-847
• A Distributed Predictive Expert SystemYutao Wang, Jingbo Xia, Jianchang Zhou, Shi Wang. 848-853
• Real Time Ozone Episode Forecast: A Comparison Between Neural Network and Grey Box ModelsGiovanna Finzi, Marialuisa Volta, Angelo Nucifora, Giuseppe Nunnari. 854-860
• A Prediction Method of Non-Stationary Time Series Data and Its Applications to Sound Signal ProcessingEiji Watanabe. 861-867
• The Mutual Information Function as a Preprocessing Tool for Predictor DesignHans-Peter Bernhard, Walter Reinisch, Wolfgang Bauer. 868-873
• Multivariate Forecasting of Electricity Production using Neural Network and Box-Jenkins MethodologiesDavid de la Fuente, Raúl Pino, José Parreño. 874-877
• On the Approximation Capability of Layered Neural Networks using Sigmoidal Heaviside FunctionsIon Ciuca. 878-884
• Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation NetworksGünther R. Raidl, Gabriele Kodydek. 885-890
• Ortho-system of Kernels in RBF Neural NetworksPawel Strumillo, Wladyslaw Kaminski. 891-895
• Algorithm of Incremental Approximation Using Variation of a Function with Respect to a SubsetKaterina Hlavácková-Schindler, Marcello Sanguineti. 896-899
• Function Approximation with Noisy Training Data using FBF Neural NetworksFabio Massimo Frattale Mascioli, A. Mancini, Antonello Rizzi, Giuseppe Martinelli. 900-906
• BRAINN: A Connectionist Approach to Symbolic ReasoningRafal Bogacz, Christophe G. Giraud-Carrier. 907-913
• Manufacturing Systems Scheduling through Machine LearningPaolo Priore, David de la Fuente García, Isabel Fernández Quesada. 914-917
• An Intelligent Knowledge-based Multi Agent System Using Neural Network and Fuzzy InferenceYoung-Im Cho. 918-921
• A Hybrid System for Symbolic-Connectionist InteractionTayeb Nedjari, Younès Bennani. 922-925
• Modelling Human Self Evaluation Within the Framework of Transformational Creativity using a Neuroidal NetworkMonika Krishan. 926-930
• Neural Network Supported Adaptation in Case-based ReasoningYain-Whar Si, Otakar Babka. 931-936
• A Relational Neural Network Database ModelErich Schikuta, Christian Brunner, Christian Schultes. 937-943
• Evaluation of World Wide Web Sites Using Neural Networks and Fractal MetricsMilan Zorman, Peter Kokol, Vili Podgorelec, Milan Ojstersek, Janez Brest. 944-948
• Self Organizing Networks to Map Information Space in Hypertext DevelopmentRiccardo Rizzo. 949-953
• Stabilization of Single-Layer Neural Network with FeedbacksEvgeny E. Dudnikov, M. V. Rybashov. 954-959
• On the (1+1/2) Layer Neural Networks Using Sigmoidal FunctionsIon Ciuca. 960-965
• Neural Networks Based Approach for the Manipulator Inverse Jacobian ProblemOuahiba Azouaoui. 966-972
• Outliers and Bayesian InferencePeter Sykacek. 973-978
• Multiple-Valued Logic Oriented Neural NetworksAli Massoud Haidar, Mititada Morisue. 979-982
• An Associative Neural Model for a Cognitive SystemPentti O. A. Haikonen. 983-988
• Augmented-Input-Layer RBFNZekeriya Uykan, Heikki N. Koivo. 989-994
• Constructive Learning of a Sub-Feature Detector Network by Means of Prediction Risk EstimationStefan Ortmann, Matthias Rychetsky, Manfred Glesner. 995-1001
• Feed Forward Neural Network Entities in Time Series Prediction and Image ClassificationAndreas Hadjiprocopis, Peter Smith. 1002-1008
• Experimental Comparison of Different Adaptive Stochastic Optimization Methods for Use with Ensemble Net Approach for Learning and GeneralizationBoris Igelnik, Yoh-Han Pao, Steven R. LeClair. 1009-1015
• Axon Provoked Neurons: A Neural Implementation of Consequence Driven SystemsStevo Bozinovski, Liljana Bozinovska. 1016-1022
• A Cascade-Correlation Learning Network with SmoothingIvan Petrovic, Mato Baotic, Nedjeljko Peric. 1023-1029
• The Problem of Network DesignEva Volná. 1030-1035
• Feed Forward and Recurrent Neural Networks for Phoneme ClassificationHenryk R. Halas, Jerzy E. Kurek. 1036-1039
• Application of Neural Networks in the Diagnosis of Pathological SpeechRyszard Tadeusiewicz, Wieslaw Wszolek, Andrzej Izworski, Maciej Modrzejewski. 1040-1045
• An Attempt of Neural Networks Application to the Diagnosis of Technical Condition of UHV AC Transmission Lines Using the Audible Noise of the Corona DischargeRyszard Tadeusiewicz, Tadeusz Wszolek, Andrzej Izworski. 1046-1049